Help Build AI-Powered Pregnancy Risk Detection

by Equitable Medicaid and Clinical Research Ltd/Gte
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection

Summary

1 in 22 Nigerian women dies from pregnancy complications, a crisis mirrored across Africa. We're developing a lifesaving AI tool in local languages for women with no access to doctors. It works via mobile app, SMS, or USSD; no internet needed. Features include real-time symptom checks, preeclampsia early detection, dietary recommendations, medication reminders, vaccine trackers, and emergency response guides. It prevents deaths from infections, early labor, and hypertension in poor regions.

$17,000
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$17,000
remaining
0
donors
0
monthly donors
27
days

Challenge

"Every 2 minutes, a woman dies from pregnancy complications in sub-Saharan Africa. In Nigeria, 1 in 22 mothers risk death, 6 times higher than global averages. Rural women face triple barriers: no doctors (1 per 5,000 people), clinics hours away, and language gaps (60% speak only local dialects). This forces reliance on unsafe traditional practices. Result: 70% of deaths stem from preventable causes like preeclampsia, infections, and hemorrhage, detectable with timely care. Without intervention,

Solution

This AI tool addresses Africa's maternal care gap by delivering critical services in local languages via app/SMS/USSD, requiring no internet. It detects risks like preeclampsia through real-time symptom analysis, alerting women and clinics instantly. Offline emergency guides and dietary advice empower remote mothers. Trained health workers use the tool to triage high-risk cases, bridging the doctor shortage (1:5,000) and reduce preventable deaths by up to 50% in focus regions.

Long-Term Impact

This AI tool will transform maternal care access for 10 million African women, cutting preventable deaths by 50% in targeted regions. It creates a sustainable ecosystem: trained health workers reduce doctor shortages, AI-powered clinics optimize limited resources, and anonymized data shapes national health policies. Mothers empowered with lifelong health literacy raise healthier families.This replicable model improves care in low-resource settings, thus bridging equity gaps.

Resources

Organization Information

Equitable Medicaid and Clinical Research Ltd/Gte

Location: Abuja, AMAC - Nigeria
Website:
Facebook: Facebook Page
Twitter: @hq_emecr
Project Leader:
Ugbede-Ojo Dominic Kadiri
Abuja , AMAC Nigeria
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